Q And to the extent that you can talk about it, I guess, what is the roadmap for, you know, in a year or two years from now? Because it's such a complex problem, like, how do you know you're ready and you can be deployed commercially?
A Absolutely. So, The good news is it, it does what we say it does. So when I say, you know, it answers this question, you have a hundred people in the car, it does that. I think the next bit is, is, is how do we take that and make sure that that answers the, the, the problems that our customers really care about, right? Because they don't care that we're answering that problem. They care that the vehicle drives correctly. And so what we're doing with our partners now, as we've kind of gotten past the first proof points of integration, is really making sure that we have the KPIs for, okay, well, this is what it should do for the performance of the vehicle. This is, you know, you should have 10% fewer false positive stops without having any, you know, false negatives where you run someone over. Getting to the KPIs and building out the tools around the core product that allows us to prove out the KPIs is really our focus right now and our customer's focus right now.
AI assessment note: “building out the tools around the core product that allows us to prove out the KPIs”